Automatic extraction of highlights from a cricket video using MPEG-7 descriptors

Authors:
Kamesh Namuduri
Affiliations:
Department of Electrical Engineering, University of North Texas
Venue:
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Year:
2009

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Abstract

Sports videos appeal to a vast majority of people. Hence, video streaming of sports videos presents a profitable business opportunity. As a result, there is an astronomical increase in the amount of sports content available on the internet. Businesses and users face a new problem of perusing such large amounts of multimedia content quickly for the required information. One technique that can enable quick overview of multimedia content is video summarization. In this paper, an approach to summarize a cricket game video by using highlights extraction process is presented. The video is first segmented into shots. Key frames are extracted from each shot and low level features are extracted from the key frames. Feature are used to extract views or states. The states and their transitions in the cricket game are represented by a Hidden Markov Model, based on which the game highlights are extracted. The performance of the proposed summarization scheme is evaluated for accuracy.